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Data Informed Decision-Making. Leadership Retreat August, 2009 Presented by: Heather Causey, Rebecca Evan, Cheri Beth Fisher, and Sheree Shaw. Questions we hope to address:. What is data driven decision-making? What data are available to us? What are Hanover schools doing with data?
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Data Informed Decision-Making Leadership Retreat August, 2009 Presented by: Heather Causey, Rebecca Evan, Cheri Beth Fisher, and Sheree Shaw
Questions we hope to address: • What is data driven decision-making? • What data are available to us? • What are Hanover schools doing with data? • What tools are available to assist me with data analysis? • How do we use these tools? • How can we promote discussions about data? • What can I take back to use in my school?
“Without data, all anyone has are opinions. Data elevates the probability that you’ll make the right decision.” -W. Edwards Deming
In which area could your school use strengthening? Analyzing Data Mining Data Using data for school improvement Communicating Data
Survey: • My staff is comfortable collecting data. • My staff is comfortable talking about data with their teams. • My staff members can manipulate their own students’ data. • My staff uses data to make daily instructional decisions. • I am satisfied with data-driven decision making at my school.
What Principals Are Saying: Strengths in Data Driven Decision-Making • Gathering data • Analyzing benchmark data using ROS Works • Having conversations about data with teams or faculties • Grouping based on reading assessment data • Sharing data with all teachers who instruct that student • Setting goals/targets based on SOL test data
What Principals Are Saying: Weaknesses/Challengesin Data Driven Decision-Making • Finding time to review data and reflect on what it means • Understanding the significance of data analysis as a diagnostic tool to assist students rather than a personal reflection on teachers • Having teachers see the big picture rather than simply focus on “their” students
What Principals Are Saying: Weaknesses/Challengesin Data Driven Decision-Making • Knowing what to do after the analysis--determining what intervention to use/how to remediate when weaknesses are apparent in the data • Knowing what data to collect and analyze for grade levels without benchmark assessments • Determining if benchmark assessment data is a reliable indicator of SOL test performance
Partner Talk How does your school currently collect, analyze, and use data to make instructional decisions?
What’s HOT in Hanover?
IEP Goal Data Behavioral: Academic:
Data Boards Electronic Data Board example
Involving Resource Teachers Grade levels can put strands of weaknesses on a Blackboard Discussion Board and anyone can add integration ideas to it.
Student Data Folders - ElementaryStudent Led Conferences - Secondary
How can YOU use ROS? • Item analysis by student, class, or grade level • Grade level classroom comparisons by standard/strand • Student remediation grouping by weak strand performance • Subgroup reports (by counts or percentages) • Classroom assessments and keys added online
Elementary Reading Secondary Math Case Studies
Guiding Questions for Case Study Analysis • Which strands have students mastered with at least 80% proficiency? • Which strands require continued remediation? • How does individual class performance compare? • What next steps would you take as the school leader? teacher?
Ideas for Engaging Staff in Data Driven Decision-Making • Define top 10 common data analysis terms individually, then as a group to reach consensus • Give teachers access to ROS Works • Offer professional development on data analysis tools • Build common planning and remediation blocks into the master schedule • Structure conversations--develop guiding questions for data discussions to be used by teams • Develop common teacher data binders
Mini Break Out Sessions • Practice with ROS Works • Practice with electronic data boards • Practice with student response systems
What’s next? • What AHA moments did you have in this session? • What new ideas would like to take back and implement with your staff? • What training is needed to help with data-driven decision making for your staff?